Triple
T12405993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dedworth |
E296386
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object |
Oakley Green
Oakley Green is a small rural settlement in Berkshire, England, characterized by its countryside setting and proximity to the town of Windsor.
|
E981865
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Oakley Green | Statement: [Dedworth, hasNearbyArea, Oakley Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oakley Green Context triple: [Dedworth, hasNearbyArea, Oakley Green]
-
A.
Courtland Park
Courtland Park is a public recreational park located in Reidsville, North Carolina.
-
B.
Mile Oak
Mile Oak is a residential area on the outskirts of Brighton and Hove in East Sussex, England, known for its suburban housing and proximity to the South Downs.
-
C.
Brightwood Park
Brightwood Park is a primarily residential neighborhood in the northwestern quadrant of Washington, D.C., known for its tree-lined streets, rowhouses, and small local businesses.
-
D.
West Green
West Green is a residential neighborhood in the London district of Tottenham, known for its diverse community and urban character.
-
E.
West Green
West Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oakley Green Triple: [Dedworth, hasNearbyArea, Oakley Green]
Generated description
Oakley Green is a small rural settlement in Berkshire, England, characterized by its countryside setting and proximity to the town of Windsor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oakley Green Target entity description: Oakley Green is a small rural settlement in Berkshire, England, characterized by its countryside setting and proximity to the town of Windsor.
-
A.
Courtland Park
Courtland Park is a public recreational park located in Reidsville, North Carolina.
-
B.
Mile Oak
Mile Oak is a residential area on the outskirts of Brighton and Hove in East Sussex, England, known for its suburban housing and proximity to the South Downs.
-
C.
Brightwood Park
Brightwood Park is a primarily residential neighborhood in the northwestern quadrant of Washington, D.C., known for its tree-lined streets, rowhouses, and small local businesses.
-
D.
West Green
West Green is a residential neighborhood in the London district of Tottenham, known for its diverse community and urban character.
-
E.
West Green
West Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d48f1908190918551c794f98fe3 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63486d1b881908d94218d2c391123 |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f637575a9c8190b677b59e9739af49 |
completed | May 2, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6380223d08190959e524ad146d0e0 |
completed | May 2, 2026, 5:44 p.m. |
Created at: April 8, 2026, 9:55 p.m.